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Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study

DC Field Value Language
dc.contributor.author김진권-
dc.date.accessioned2022-08-23T00:20:29Z-
dc.date.available2022-08-23T00:20:29Z-
dc.date.issued2022-08-
dc.identifier.issn1876-0341-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/189382-
dc.description.abstractBackground: Triglyceride-glucose (TyG) index is a simple and reliable surrogate marker for insulin resistance. Epidemiology studies have shown that insulin resistance is a risk factor for various infectious diseases. We evaluated the prognostic value of TyG index measured before the COVID-19 infection in COVID-19 infected patients. Methods: From a nationwide COVID-19 cohort dataset in Korea, we included COVID-19 patients diagnosed between Jan and Jun 2020. Based on the nationwide health screening data between 2015 and 2018, TyG index was calculated as ln [triglyceride (mg/dL) × fasting glucose level (mg/dL)/2]. Primary outcome is development of severe complications of COVID-19 defined as composite of mechanical ventilation, intensive care unit care, high-flow oxygen therapy, and mortality within two months after the diagnosis of COVID-19. Results: This study included 3887 patients with COVID-19 confirmed by reverse transcription polymerase chain reaction. Mean ± standard deviation of TyG index was 8.54 ± 0.61. Severe complications of COVID-19 were noted in 289 (7.44%) patients. In the multivariate logistic regression, TyG index was positively associated with severe complications of COVID-19 (adjusted odds ratio: 1.42, 95% confidence interval [1.12-1.79]). Conclusions: In COVID-19 infected patients, high TyG index was associated with increased risk for severe complications. TyG index might be useful predictor for the severity of COVID-19 infection.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfJOURNAL OF INFECTION AND PUBLIC HEALTH-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHBiomarkers-
dc.subject.MESHBlood Glucose-
dc.subject.MESHCOVID-19*-
dc.subject.MESHGlucose-
dc.subject.MESHHumans-
dc.subject.MESHInsulin Resistance*-
dc.subject.MESHPrognosis-
dc.subject.MESHRisk Assessment-
dc.subject.MESHRisk Factors-
dc.subject.MESHTriglycerides-
dc.titleAssociation of triglyceride-glucose index with prognosis of COVID-19: A population-based study-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Neurology (신경과학교실)-
dc.contributor.googleauthorYoonkyung Chang-
dc.contributor.googleauthorJimin Jeon-
dc.contributor.googleauthorTae-Jin Song-
dc.contributor.googleauthorJinkwon Kim-
dc.identifier.doi10.1016/j.jiph.2022.06.014-
dc.contributor.localIdA01012-
dc.relation.journalcodeJ04249-
dc.identifier.eissn1876-035X-
dc.identifier.pmid35779467-
dc.subject.keywordCOVID-19-
dc.subject.keywordGlucose-
dc.subject.keywordInsulin resistance-
dc.subject.keywordTriglyceride-glucose index-
dc.contributor.alternativeNameKim, Jin Kwon-
dc.contributor.affiliatedAuthor김진권-
dc.citation.volume15-
dc.citation.number8-
dc.citation.startPage837-
dc.citation.endPage844-
dc.identifier.bibliographicCitationJOURNAL OF INFECTION AND PUBLIC HEALTH, Vol.15(8) : 837-844, 2022-08-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers

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